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Researcher · University of Florida · United States

Kejun Huang

Kejun Huang publishes mostly in Computational Mechanics, Artificial Intelligence and Computational Mathematics, on topics such as Sparse and Compressive Sensing Techniques, Tensor decomposition and applications and Blind Source Separation Techniques.

ORCID 0000-0002-6460-6365 OpenAlex
World rank
#1,125,537
of 7,710,434 ranked researchers
Rank in United States
#363,300
of 1,627,098
Works
86
Citations
3.7k
Citations per work
42.8
h-index
22
i10-index 33Top 14% in Computational Mechanics
Kejun Huang

What does Kejun Huang research?

Kejun Huang's work is mostly in Computer Science (33%), Engineering (15%), Mathematics (13%).

Physical Sciences: 53 works · 61.5% of their workComputer Science: 29 works · 33.4% of their workArtificial Intelligence: 12 works · 13.6% of their workComputer Vision and Pattern Recognition: 9 works · 9.9% of their workSignal Processing: 9 works · 9.9% of their workEngineering: 13 works · 15.3% of their workComputational Mechanics: 13 works · 15.3% of their workMathematics: 11 works · 12.8% of their workComputational Mathematics: 11 works · 12.8% of their workEverything else: 27 works · 31.9% of their workLife Sciences: 6 works · 6.6% of their workBiochemistry, Genetics and Molecular Biology: 6 works · 6.6% of their workMolecular Biology: 6 works · 6.6% of their workTHEIR WORKKejun Huang86works
Life Sciences7%Physical Sciences62%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science2933.4%
    2. Engineering1315.3%
    3. Mathematics1112.8%
  2. Everything else2731.9%
    1. Biochemistry, Genetics and Molecular Biology66.6%
  1. 1Computational Mechanics15% of their works
  2. 2Artificial Intelligence14% of their works
  3. 3Computational Mathematics13% of their works
  4. 4Signal Processing10% of their works
  5. 5Computer Vision and Pattern Recognition10% of their works
  6. 6Molecular Biology7% of their works

Research topics

Which keywords describe Kejun Huang's research?

The keywords of their largest research topics: Sparse Representation, Machine Learning, Compressed Sensing, Multilinear Algebra, Signal Recovery, Tensor Decomposition, Blind Separation and Independent Component Analysis.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 19 words, with their numbers
  1. Sparse Representation613 topics
  2. Machine Learning362 topics
  3. Compressed Sensing311 topic
  4. Multilinear Algebra311 topic
  5. Signal Recovery311 topic
  6. Tensor Decomposition311 topic
  7. Blind Separation201 topic
  8. Independent Component Analysis201 topic
  9. Feature Selection152 topics
  10. Dimensionality Reduction101 topic
  11. Face Recognition101 topic
  12. Matrix Computations101 topic
  13. Numerical Linear Algebra101 topic
  14. Adaptive Filtering61 topic
  15. Non-Gaussian Signal Processing61 topic
  16. Gene Expression51 topic
  17. Image Denoising51 topic
  18. Microarray51 topic
  19. Sparse Representations51 topic

Where does Kejun Huang work?

Kejun Huang's main affiliation in the publication record is University of Florida, United States.

How many publications and citations does Kejun Huang have?

OpenAlex counts 86 works and 3,680 citations for Kejun Huang, an h-index of 22, ranking #1,125,537 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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